The Cabaret

There is something profoundly unsettling about a room full of people laughing at something that isn’t particularly funny. A performer smiles, the orchestra plays, the audience applauds, and somewhere beneath the velvet curtains and theatrical lighting, something has gone terribly wrong. Nobody seems especially concerned. The champagne is still flowing.

That was the world I wanted to create.

The Cabaret began as a musical experiment. I had been exploring generative artificial intelligence as a creative instrument, particularly its ability to interpret unusual combinations of musical references. I wasn’t interested in producing another perfectly polished electronic track or imitating an existing artist. I wanted to construct an atmosphere, invent a character, and tell a story without relying on conventional narrative structures.

My references were wonderfully incompatible. The theatrical decadence of Bob Fosse’s Cabaret, the grotesque industrial spectacle of Marilyn Manson’s The Golden Age of Grotesque, the mechanical aggression of industrial rock, and the melancholy of European cabaret music. Somewhere between those influences lived a peculiar sound: elegant, vulgar, theatrical, and vaguely threatening.

I imagined a cabaret somewhere in a European city that might not even exist. The establishment had clearly seen better days, although its occupants remained blissfully unaware. The performers were exhausted, the decorations were excessive, and the orchestra continued playing with the determination of musicians who hadn’t been paid in several months.

Naturally, everyone was having a wonderful time.

The opening song celebrates money, glamour, and the wonderful absurdity of material excess. It’s flamboyant, theatrical, and deliberately ridiculous. The kind of performance that demands a spotlight, a cigarette holder, and an audience willing to overlook the obvious signs of social decay.

But the interesting part of a performance, at least to me, begins when the audience leaves.

As the album progresses, the spectacle gradually disappears. The music becomes more intimate. The protagonist is no longer performing for anyone. The laughter fades, the orchestra falls silent, and the enormous theatrical personality introduced at the beginning is reduced to a solitary human being.

We follow this character through the empty hours after midnight, into a rain-soaked alley, and eventually into a desolate city that feels haunted by a war nobody remembers winning.

The musical language changes with the narrative. The exaggerated rhythms and grotesque theatrical gestures give way to fragile melodies, distant voices, and atmospheric textures. There are moments when the human voice seems less interested in singing than in remembering how to speak.

By the end, the character is lying in bed, somewhere between consciousness and sleep. The performance is over. There is no audience left to entertain, no applause to collect, and no particular reason to get up in the morning.

The final sentiment is deceptively simple.

Don’t wake me.

What fascinated me throughout the process was the contrast between the music’s theatrical presentation and its underlying emotional trajectory. The album begins with an almost aggressive declaration of happiness and ends with a quiet desire to escape reality altogether. The spectacle isn’t merely decoration. It’s a defence mechanism.

There is, of course, a long artistic tradition of disguising tragedy as entertainment. Cabaret performers, playwrights, filmmakers, and musicians have understood this for generations. Humour gives an audience permission to approach uncomfortable subjects. Beauty makes the unbearable approachable. And sometimes the most devastating thing an artist can do is invite everyone to laugh.

Artificial intelligence introduced another interesting dimension to the experiment. I used conversational AI to explore the narrative, develop lyrics, and articulate musical direction, while generative music tools translated those instructions into sound. The process was neither entirely predictable nor completely automated. It required listening, rejecting, revising, and repeatedly adjusting the relationship between language, rhythm, instrumentation, and emotion.

The machine could produce the performance. It couldn’t decide what the performance was supposed to mean. That distinction matters to me.

I’ve spent much of my professional life working with visual communication, where the difference between an idea and its execution is fundamental. Music turned out to be another fascinating medium through which to explore the same principle. The tools changed, but the creative questions remained remarkably familiar.

What are we trying to communicate? Why should anyone care? And what happens when we remove everything that doesn’t contribute to the idea?

When I shared the music with my family, the reactions were unexpectedly entertaining. My aunt in Iran, who doesn’t speak English, congratulated me on finally producing something cheerful. My mother, who understood the lyrics, was considerably less enthusiastic. She wondered whether the music reflected some deeply troubling state of mind.

I found both reactions equally fascinating.

The same piece of music had communicated two almost opposite emotional experiences. Without the language, the theatrical energy appeared joyful. With the words, the darker narrative became impossible to ignore.

Perhaps that contradiction is the entire point of The Cabaret.

I don’t believe every creative experiment needs to be commercially viable, immediately understandable, or even particularly pleasant. Sometimes the value of making something lies in discovering an emotion, an atmosphere, or an idea that couldn’t have existed without the process itself.

The Cabaret was never intended to be a conventional musical release. It was an exercise in world-building, storytelling, and creative experimentation with emerging technology.

It also happens to sound like the house orchestra at the end of civilization.

And frankly, I think they’re doing a wonderful job.